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Dynamic K-L Analysis of the Coherent Structures in Turbulent Viscoelastic Channel Flows

机译:动态K-L对湍流粘弹性通道流动中相干结构的分析

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The turbulent dynamics corresponding to long-time Direct Numerical Simulation (DNS) data of viscoelastic turbulent channel flows is analyzed here through a projection of the velocity fields into a set of Karhunen-Loeve (K-L) modes, large enough to contain, on the average, more than 90% of the fluctuating turbulence energy. Previous static K-L analyses have demonstrated a dramatic decrease in the K-L dimensionality (and, correspondingly, the number of modes caying most of the turbulent energy) as viscoelasticity increases in turbulent channel flows; this is also consistent to the increasing importance of large coherent structures for viscoelastic turbulent flows, as was also revealed in previous flow visualizations of DNS data. Here we use the K-L modes dynamically in viscoelastic turbulence to better understand the role of coherent structures and viscoelasticity. In particular, we calculate the viscoelastic conformation field developed in response to the velocity field reconstructed from selected KL representations and compare the results against the full DNS predictions. The significance of these results in building low dimensional models for viscoelastic turbulence is also going to be addressed.
机译:这里通过速度场的投影分析了粘弹性湍流通道流量的长时间直接数值模拟(DNS)数据的湍流动态,进入一组Karhunen-Loeve(KL)模式,足以容纳平均值,超过90%的波动湍流能量。以前的静态K-L分析已经证明了K-L维度的显着减少(并且相应地,胶结的多部湍流能量的数量)作为粘弹性在湍流通道流动中增加;这也一致于粘弹性湍流的大的相干结构的越来越重要,因为在先前的DNS数据的流动可视化中也显示出来。在这里,我们在粘弹性湍流中动态地使用K-L模式,以更好地了解相干结构和粘弹性的作用。特别地,我们计算响应于从所选KL表示的速度场开发的粘弹性构象领域,并将结果与​​完整DNS预测进行比较。这些导致这些结果在构建粘弹性湍流的低尺寸模型的重要性也将得到解决。

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